19.4.4.5 Database Indexing Using Bag of Words, Bag of Features

Chapter Contents (Back)
Database. Image Database. Bag of Words. Feature Matching. bag-of-words, bag-of-features. See also General Similarity Measures for Database Indexing.

Quelhas, P.[Pedro], Monay, F.[Florent], Odobez, J.M.[Jean-Marc], Gatica-Perez, D.[Daniel], Tuytelaars, T.[Tinne],
A Thousand Words in a Scene,
PAMI(29), No. 9, September 2007, pp. 1575-1589.
IEEE DOI 0709
Compare text modeling (bag of features) and local invariant features. See also Modeling Semantic Aspects for Cross-Media Image Indexing. BibRef

Quelhas, P.[Pedro], Odobez, J.M.[Jean-Marc],
Multi-level local descriptor quantization for bag-of-visterms image representation,
CIVR07(242-249).
DOI Link 0707
BibRef

Negoescu, R.A.[Radu Andrei], Gatica-Perez, D.[Daniel],
Analyzing Flickr groups,
CIVR08(417-426). 0807
BibRef

Larlus, D.[Diane], Jurie, F.[Frederic],
Latent mixture vocabularies for object categorization and segmentation,
IVC(27), No. 5, 2 April 2009, pp. 523-534.
Elsevier DOI 0904
BibRef
Earlier:
Latent Mixture Vocabularies for Object Categorization,
BMVC06(III:959).
PDF File. 0609
Object categorization; Object segmentation; Visual vocabulary creation BibRef

Larlus, D.[Diane], Verbeek, J.[Jakob], Jurie, F.[Frédéric],
Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields,
IJCV(88), No. 2, June 2010, pp. xx-yy.
Springer DOI 1003
BibRef
And: A1, A3, Only:
Combining appearance models and Markov Random Fields for category level object segmentation,
CVPR08(1-7).
IEEE DOI 0806
BibRef

Su, Y.[Yu], Jurie, F.[Frederic],
Visual word disambiguation by semantic contexts,
ICCV11(311-318).
IEEE DOI 1201
Context for words that mean more things. BibRef

Krapac, J.[Josip], Verbeek, J.[Jakob], Jurie, F.[Frederic],
Modeling spatial layout with Fisher vectors for image categorization,
ICCV11(1487-1494).
IEEE DOI 1201
BibRef

Jégou, H.[Hervé], Douze, M.[Matthijs], Schmid, C.[Cordelia],
Improving Bag-of-Features for Large Scale Image Search,
IJCV(87), No. 3, May 2010, pp. xx-yy.
Springer DOI 1003
BibRef
And:
On the burstiness of visual elements,
CVPR09(1169-1176).
IEEE DOI 0906
BibRef
Earlier:
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search,
ECCV08(I: 304-317).
Springer DOI 0810
BibRef
And:
Recent Advances in Large Scale Image Search,
ETVC08(305-326).
Springer DOI 0811
BibRef

Jegou, H.[Herve], Douze, M.[Matthijs], Schmid, C.[Cordelia],
Packing bag-of-features,
ICCV09(2357-2364).
IEEE DOI 0909
BibRef

Jegou, H.[Herve], Douze, M.[Matthijs], Schmid, C.[Cordelia],
Product Quantization for Nearest Neighbor Search,
PAMI(33), No. 1, January 2011, pp. 117-128.
IEEE DOI 1011
Decompose space into product of low-dimensional subspaces. BibRef

Weinzaepfel, P.[Philippe], Jegou, H.[Herve], Perez, P.[Patrick],
Reconstructing an image from its local descriptors,
CVPR11(337-344).
IEEE DOI 1106
BibRef

Jégou, H.[Hervé], Perronnin, F.[Florent], Douze, M.[Matthijs], Sánchez, J.[Jorge], Pérez, P.[Patrick], Schmid, C.[Cordelia],
Aggregating Local Image Descriptors into Compact Codes,
PAMI(34), No. 9, September 2012, pp. 1704-1716.
IEEE DOI 1208
BibRef

Jegou, H.[Herve], Douze, M.[Matthijs], Schmid, C.[Cordelia], Perez, P.[Patrick],
Aggregating local descriptors into a compact image representation,
CVPR10(3304-3311).
IEEE DOI Video of talk:
WWW Link. 1006
BibRef

Tolias, G.[Giorgos], Bursuc, A.[Andrei], Furon, T.[Teddy], Jégou, H.[Hervé],
Rotation and translation covariant match kernels for image retrieval,
CVIU(140), No. 1, 2015, pp. 9-20.
Elsevier DOI 1509
BibRef
Earlier: A1, A3, A4, Only:
Orientation Covariant Aggregation of Local Descriptors with Embeddings,
ECCV14(VI: 382-397).
Springer DOI 1408
See also Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images. Image retrieval BibRef

Uijlings, J.R.R., Smeulders, A.W.M., Scha, R.J.H.,
Real-Time Visual Concept Classification,
MultMed(12), No. 7, 2010, pp. 665-681.
IEEE DOI 1011
BibRef
Earlier:
Real-time bag of words, approximately,
CIVR09(Article No 6).
DOI Link 0907
For large datasets. Review techniques. BibRef

Uijlings, J.R.R.[Jasper R.R.], van de Sande, K.E.A.[Koen E.A.], Gevers, T.[Theo], Smeulders, A.W.M.[Arnold W.M.],
Selective Search for Object Recognition,
IJCV(104), No. 2, September 2013, pp. 154-171.
Springer DOI 1308
BibRef
Earlier: A2, A1, A3, A4:
Segmentation as selective search for object recognition,
ICCV11(1879-1886).
IEEE DOI 1201
Selectively search using segmentation. BibRef

Zhou, X.[Xi], Zhuang, X.D.[Xiao-Dan], Tang, H.[Hao], Hasegawa-Johnson, M.[Mark], Huang, T.S.[Thomas S.],
Novel Gaussianized vector representation for improved natural scene categorization,
PRL(31), No. 8, 1 June 2010, pp. 702-708.
Elsevier DOI 1004
BibRef
Earlier:
A novel Gaussianized vector representation for natural scene categorization,
ICPR08(1-4).
IEEE DOI 0812
Gaussian mixture model; Unsupervised learning; Image classification; Expectation-Maximization orderless bag of features, then global learning. BibRef

Matsukawa, T.[Tetsu], Kurita, T.[Takio],
Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations,
IEICE(E93-D), No. 10, October 2010, pp. 2870-2874.
WWW Link. 1011
BibRef
Earlier:
Image Classification Using Probability Higher-Order Local Auto-Correlations,
ACCV09(III: 384-394).
Springer DOI 0909
Extension of bag-of-features. BibRef

Matsukawa, T.[Tetsu], Kurita, T.[Takio],
Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images,
PR(45), No. 2, February 2012, pp. 707-719.
Elsevier DOI 1110
Image recognition; Higher-order local autocorrelation feature; Bag-of-features; Posterior probability image BibRef

Hao, P.[Pengyi], Kamata, S.I.[Sei-Ichiro],
Hilbert Scan Based Bag-of-Features for Image Retrieval,
IEICE(E94-D), No. 6, June 2011, pp. 1260-1268.
WWW Link. 1101
See also Efficiently Finding Individuals from Video Dataset. BibRef

López Sastre, R.J.[Roberto Javier], Tuytelaars, T.[Tinne], Acevedo-Rodriguez, F.J., Maldonado Bascón, S.[Saturnino],
Towards a more discriminative and semantic visual vocabulary,
CVIU(115), No. 3, March 2011, pp. 415-425.
Elsevier DOI 1103
BibRef
Earlier: A1, A2, A4, Only:
Class Representative Visual Words for Category-Level Object Recognition,
IbPRIA09(184-191).
Springer DOI 0906
CPM: Cluster Precision Maximization. Vector quantized descriptors of the image. Category-level object recognition; Visual vocabulary; Correlation clustering; Cluster precision; Reciprocal Nearest Neighbours; Bag-of-Words BibRef

Redondo-Cabrera, C.[Carolina], López-Sastre, R.J.[Roberto J.], Acevedo-Rodríguez, J.[Javier], Maldonado-Bascón, S.[Saturnino],
Recognizing in the depth: Selective 3D Spatial Pyramid Matching Kernel for object and scene categorization,
IVC(32), No. 12, 2014, pp. 965-978.
Elsevier DOI 1412
BibRef
Earlier:
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition,
CVPR12(3458-3465).
IEEE DOI 1208
3D Spatial Pyramid Matching Kernel BibRef

Li, B., Godil, A., Aono, M., Bai, X., Furuya, T., Li, L., López-Sastre, R., Johan, H., Ohbuchi, R., Redondo-Cabrera, C., Tatsuma, A., Yanagimachi, T., Zhang, S.,
SHREC'12 Track: Generic 3d Shape Retrieval,
3DOR12(119-126)
DOI Link 1301
BibRef

López-Sastre, R.J., Renes-Olalla, J., Gil-Jiménez, P., Maldonado-Bascón, S.,
Visual Word Aggregation,
IbPRIA11(676-683).
Springer DOI 1106
BibRef

Li, T.[Teng], Mei, T.[Tao], Kweon, I.S.[In So], Hua, X.S.,
Contextual Bag-of-Words for Visual Categorization,
CirSysVideo(21), No. 4, April 2011, pp. 381-392.
IEEE DOI 1104
BibRef
Earlier: A1, A2, A3, Only:
Learning Optimal Compact Codebook for Efficient Object Categorization,
WACV08(1-6).
IEEE DOI 0801
BibRef

Kim, S.H.[Sung-Ho], Kweon, I.S.[In So],
Object Categorization Robust to Surface Markings using Entropy-guided Codebook,
WACV07(22-22).
IEEE DOI 0702
BibRef

Fernando, B.[Basura], Fromont, E.[Elisa], Muselet, D.[Damien], Sebban, M.[Marc],
Supervised learning of Gaussian mixture models for visual vocabulary generation,
PR(45), No. 2, February 2012, pp. 897-907.
Elsevier DOI 1110
Bags of visual words; Supervised Gaussian mixture model; Dictionary generation; Expectation-Maximization algorithm BibRef

Fernando, B.[Basura], Fromont, E.[Elisa], Muselet, D.[Damien], Sebban, M.[Marc],
Discriminative feature fusion for image classification,
CVPR12(3434-3441).
IEEE DOI 1208
BibRef

Gavves, E.[Efstratios], Snoek, C.G.M.[Cees G.M.], Smeulders, A.W.M.[Arnold W.M.],
Visual synonyms for landmark image retrieval,
CVIU(116), No. 2, February 2012, pp. 238-249.
Elsevier DOI 1201
Image representation; Image retrieval Pairs of indepenednt words likely to be images of the same object. For Landmarks. BibRef

Lavoué, G.[Guillaume],
Combination of bag-of-words descriptors for robust partial shape retrieval,
VC(27), No. 9, September 2011, pp. 931-942.
WWW Link. 1208
BibRef

Zhou, L.[Li], Zhou, Z.T.[Zong-Tan], Hu, D.[Dewen],
Scene classification using a multi-resolution bag-of-features model,
PR(46), No. 1, January 2013, pp. 424-433.
Elsevier DOI 1209
Scene classification; Multiple resolutions; Bag-of-features model; Image partition; Feature combination BibRef

Bolovinou, A., Pratikakis, I., Perantonis, S.,
Bag of spatio-visual words for context inference in scene classification,
PR(46), No. 3, March 2013, pp. 1039-1053.
Elsevier DOI 1212
Scene classification; Bag of spatio-visual words; Spatial co-occurrence; Contextual descriptors; Ensembles learning; High dimensional features clustering BibRef

Bai, S.[Shuang], Matsumoto, T.[Tetsuya], Takeuchi, Y.[Yoshinori], Kudo, H.[Hiroaki], Ohnishi, N.[Noboru],
Incorporating Contextual Information into Bag-of-Visual-Words Framework for Effective Object Categorization,
IEICE(E95-D), No. 12, December 2012, pp. 3060-3068.
WWW Link. 1212
BibRef

Zhao, Y., Zhang, Z., Wang, Y.,
Codebook reconstruction with holistic information fusion,
IET-CV(6), No. 6, 2012, pp. 626-634.
DOI Link 1301
Bag of features for categorization. BibRef

Avila, S.[Sandra], Thome, N.[Nicolas], Cord, M.[Matthieu], Valle, E.[Eduardo], de Albuquerque Araújo, A.[Arnaldo],
Pooling in image representation: The visual codeword point of view,
CVIU(117), No. 5, May 2013, pp. 453-465.
Elsevier DOI 1303
BibRef
Earlier:
BOSSA: Extended bow formalism for image classification,
ICIP11(2909-2912).
IEEE DOI 1201
Image classification; Image representation; Pattern recognition; Bag-of-Words; Visual dictionary; Coding; Pooling; SVM BibRef

Durand, T.[Thibaut], Thome, N.[Nicolas], Cord, M.[Matthieu], Avila, S.[Sandra],
Image classification using object detectors,
ICIP13(4340-4344)
IEEE DOI 1412
Combination with low-level Representations BibRef

Koniusz, P.[Piotr], Yan, F.[Fei], Mikolajczyk, K.[Krystian],
Comparison of mid-level feature coding approaches and pooling strategies in visual concept detection,
CVIU(117), No. 5, May 2013, pp. 479-492.
Elsevier DOI 1303
Bag-of-Words; Mid-level features; Soft Assignment; Sparse Coding; Locality-constrained Linear Coding; Max-pooling; Analytical pooling; Power Normalisation; Comparison BibRef

Koniusz, P.[Piotr], Yan, F.[Fei], Gosselin, P.H.[Philippe-Henri], Mikolajczyk, K.[Krystian],
Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection,
PAMI(39), No. 2, February 2017, pp. 313-326.
IEEE DOI 1702
Aggregates BibRef

Chen, Y.C.[Yi-Chen], Sastry, C.S., Patel, V.M., Phillips, P.J., Chellappa, R.,
In-Plane Rotation and Scale Invariant Clustering Using Dictionaries,
IP(22), No. 6, 2013, pp. 2166-2180.
IEEE DOI 1307
Radon transforms; content-based image retrieval (CBIR) BibRef

Qiu, Q.A.[Qi-Ang], Patel, V.M.[Vishal M.], Chellappa, R.[Rama],
Information-Theoretic Dictionary Learning for Image Classification,
PAMI(36), No. 11, November 2014, pp. 2173-2184.
IEEE DOI 1410
Atomic measurements BibRef

Qiu, Q.A.[Qi-Ang], Chellappa, R.,
Compositional Dictionaries for Domain Adaptive Face Recognition,
IP(24), No. 12, December 2015, pp. 5152-5165.
IEEE DOI 1512
face recognition BibRef

Lu, B.[Boyu], Chellappa, R.[Rama], Nasrabadi, N.M.[Nasser M.],
Incremental Dictionary Learning for Unsupervised Domain Adaptation,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Ni, J.[Jie], Qiu, Q.A.[Qi-Ang], Chellappa, R.[Rama],
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation,
CVPR13(692-699)
IEEE DOI 1309
BibRef

Qiu, Q.A.[Qi-Ang], Patel, V.M.[Vishal M.], Turaga, P.K.[Pavan K.], Chellappa, R.[Rama],
Domain Adaptive Dictionary Learning,
ECCV12(IV: 631-645).
Springer DOI 1210
BibRef

Alqasrawi, Y.[Yousef], Neagu, D.[Daniel], Cowling, P.I.[Peter I.],
Fusing integrated visual vocabularies-based bag of visual words and weighted colour moments on spatial pyramid layout for natural scene image classification,
SIViP(7), No. 4, July 2013, pp. 759-775.
WWW Link. 1306
BibRef

Bai, S.A.[Shu-Ang], Matsumoto, T.[Tetsuya], Takeuchi, Y.[Yoshinori], Kudo, H.[Hiroaki], Ohnishi, N.[Noboru],
Informative patches sampling for image classification by utilizing bottom-up and top-down information,
MVA(24), No. 5, July 2013, pp. 959-970.
Springer DOI 1306
image classification based on bag of visual words BibRef

Wang, J.J.Y.[Jim Jing-Yan], Bensmail, H.[Halima], Gao, X.[Xin],
Joint learning and weighting of visual vocabulary for bag-of-feature based tissue classification,
PR(46), No. 12, 2013, pp. 3249-3255.
Elsevier DOI 1308
Tissue classification BibRef

Yi, J., Peng, Y.X.[Yu-Xin], Xiao, J.G.[Jian-Guo],
Exploiting Semantic and Visual Context for Effective Video Annotation,
MultMed(15), No. 6, 2013, pp. 1400-1414.
IEEE DOI 1309
Accuracy BibRef

Yang, Z.G.[Zhi-Guo], Peng, Y.X.[Yu-Xin], Xiao, J.G.[Jian-Guo],
Visual Vocabulary Optimization with Spatial Context for Image Annotation and Classification,
MMMod12(89-102).
Springer DOI 1201
Spatial context in description by visual vocabulary. BibRef

Hou, J.[Jian], Liu, W.X.[Wei-Xue], E, X.[Xu], Xia, Q.[Qi], Qi, N.M.[Nai-Ming],
An experimental study on the universality of visual vocabularies,
JVCIR(24), No. 7, 2013, pp. 1204-1211.
Elsevier DOI 1309
Bag-of-visual-words BibRef

Li, Z.[Zhen], Yap, K.H.[Kim-Hui],
An efficient approach for scene categorization based on discriminative codebook learning in bag-of-words framework,
IVC(31), No. 10, 2013, pp. 748-755.
Elsevier DOI 1310
Scene categorization BibRef

Chen, T.[Tao], Yap, K.H.[Kim-Hui], Chau, L.P.[Lap-Pui],
From universal bag-of-words to adaptive bag-of-phrases for mobile scene recognition,
ICIP11(825-828).
IEEE DOI 1201
BibRef

Chen, N.[Na], Prasanna, V.K.[Viktor K.],
A bag-of-semantics model for image clustering,
VC(29), No. 11, November 2013, pp. 1221-1229.
Springer DOI 1310
BibRef

Sfikas, K.[Konstantinos], Theoharis, T.[Theoharis], Pratikakis, I.[Ioannis],
3D object retrieval via range image queries in a bag-of-visual-words context,
VC(29), No. 12, December 2013, pp. 1351-1361.
WWW Link. 1312
BibRef

Li, L.J.[Li-Jia], Su, H.[Hao], Lim, Y.W.[Yong-Whan], Fei-Fei, L.[Li],
Object Bank: An Object-Level Image Representation for High-Level Visual Recognition,
IJCV(107), No. 1, March 2014, pp. 20-39.
Springer DOI 1403
Images by objects that occur in them. Large number of pre-trained object detectors. BibRef

Wang, L.[Lei], Zhou, L.P.[Lu-Ping], Shen, C.H.[Chun-Hua], Liu, L.Q.[Ling-Qiao], Liu, H.[Huan],
A Hierarchical Word-Merging Algorithm with Class Separability Measure,
PAMI(36), No. 3, March 2014, pp. 417-435.
IEEE DOI 1403
feature extraction Bag of features model. Merge features at some level. BibRef

Huang, Y.Z.[Yong-Zhen], Wu, Z.[Zifeng], Wang, L.[Liang], Tan, T.N.[Tie-Niu],
Feature Coding in Image Classification: A Comprehensive Study,
PAMI(36), No. 3, March 2014, pp. 493-506.
IEEE DOI 1403
Survey, Feature Coding. feature extraction BibRef

Chen, T.[Tao], Yap, K.H.[Kim-Hui], Zhang, D.J.[Da-Jiang],
Discriminative Soft Bag-of-Visual Phrase for Mobile Landmark Recognition,
MultMed(16), No. 3, April 2014, pp. 612-622.
IEEE DOI 1405
dictionaries BibRef

Fernando, B.[Basura], Fromont, E.[Elisa], Tuytelaars, T.[Tinne],
Mining Mid-level Features for Image Classification,
IJCV(108), No. 3, July 2014, pp. 186-203.
Springer DOI 1407
BibRef
Earlier:
Effective Use of Frequent Itemset Mining for Image Classification,
ECCV12(I: 214-227).
Springer DOI 1210
Frequent local histograms. BibRef

Fernando, B.[Basura], Tuytelaars, T.[Tinne],
Mining Multiple Queries for Image Retrieval: On-the-Fly Learning of an Object-Specific Mid-level Representation,
ICCV13(2544-2551)
IEEE DOI 1403
feature configurations BibRef

Farhangi, M.M., Soryani, M., Fathy, M.,
Informative visual words construction to improve bag of words image representation,
IET-IPR(8), No. 5, May 2014, pp. 310-318.
DOI Link 1407
BibRef

Wu, M.[Meng], Zhou, J.[Jun], Sun, J.[Jun],
Query-expanded collaborative representation based classification with class-specific prototypes for object recognition,
PR(47), No. 11, 2014, pp. 3585-3596.
Elsevier DOI 1407
Object recognition Linear representation based classifiers (LinearRCs). Query image is a linear combination of priors. BibRef

Zheng, Z., Zhang, Y., Yan, L.,
Global and local exploitation for saliency using bag-of-words,
IET-CV(8), No. 4, August 2014, pp. 299-304.
DOI Link 1407
BibRef

Zhang, C.J.[Chun-Jie], Xiao, X.[Xian], Pang, J.B.[Jun-Biao], Liang, C.[Chao], Zhang, Y.F.[Yi-Fan], Huang, Q.M.[Qing-Ming],
Beyond visual word ambiguity: Weighted local feature encoding with governing region,
JVCIR(25), No. 6, 2014, pp. 1387-1398.
Elsevier DOI 1407
Visual word ambiguity BibRef

Tousch, A.M.[Anne-Marie], Herbin, S.[Stéphane], Audibert, J.Y.[Jean-Yves],
Semantic hierarchies for image annotation: A survey,
PR(45), No. 1, 2012, pp. 333-345.
Elsevier DOI 1410
Survey, Annotation. Image annotation BibRef

Deng, Y.[Yue], Li, Y.P.[Yi-Peng], Qian, Y.J.[Yan-Jun], Ji, X.Y.[Xiang-Yang], Dai, Q.H.[Qiong-Hai],
Visual Words Assignment Via Information-Theoretic Manifold Embedding,
Cyber(44), No. 10, October 2014, pp. 1924-1937.
IEEE DOI 1410
computer vision BibRef

Qian, Y.J.[Yan-Jun], Deng, Y.[Yue], Dai, Q.H.[Qiong-Hai], Li, Y.P.[Yi-Peng], Er, G.H.[Gui-Hua],
Visual words assignment on a graph via minimal mutual information loss,
BMVC12(91).
DOI Link 1301
BibRef

Zhu, L.[Lei], Jin, H.[Hai], Zheng, R.[Ran], Feng, X.W.[Xiao-Wen],
Weighting scheme for image retrieval based on bag-of-visual-words,
IET-IPR(8), No. 9, September 2014, pp. 509-518.
DOI Link 1410
content-based retrieval BibRef

Zhu, J., Yu, J., Wang, C., Li, F.Z.,
Colour combination attention for object recognition,
IET-IPR(8), No. 9, September 2014, pp. 539-547.
DOI Link 1410
image classification BibRef

Zhu, J.[Jie], Yu, J.[Jian], Wang, C.[Chaomurilige], Li, F.Z.[Fan-Zhang],
Object recognition via contextual color attention,
JVCIR(27), No. 1, 2015, pp. 44-56.
Elsevier DOI 1502
Object recognition BibRef

Lu, Z.W.[Zhi-Wu], Wang, L.[Liwei],
Learning descriptive visual representation for image classification and annotation,
PR(48), No. 2, 2015, pp. 498-508.
Elsevier DOI 1411
Image classification BibRef

Qi, H.[Heng], Stojmenovic, M., Li, K.[Keqiu], Li, Z.Y.[Zhi-Yang], Qu, W.Y.[Wen-Yu],
A Low Transmission Overhead Framework of Mobile Visual Search Based on Vocabulary Decomposition,
MultMed(16), No. 7, November 2014, pp. 1963-1972.
IEEE DOI 1411
What to transmit to server for the visual search. Migrate computation to the mobile device, transmit only the words in bag of visual words model. BibRef

Qin, J.Z.[Jian-Zhao], Deng, F.[Fuqin], Yung, N.H.C.[Nelson H.C.],
Scene categorization based on local-global feature fusion and multi-scale multi-spatial resolution encoding,
SIViP(8), No. S1, December 2014, pp. 145-154.
WWW Link. 1411
bag-of-contextual-visual-word models. And hierarchical encoding. BibRef

Khan, R.[Rahat], Barat, C.[Cécile], Muselet, D.[Damien], Ducottet, C.[Christophe],
Spatial histograms of soft pairwise similar patches to improve the bag-of-visual-words model,
CVIU(132), No. 1, 2015, pp. 102-112.
Elsevier DOI 1502
BibRef
Earlier:
Spatial orientations of visual word pairs to improve Bag-of-Visual-Words model,
BMVC12(89).
DOI Link 1301
Spatial information BibRef

Zhang, J.[Jing], Li, D.[Da], Zhao, Y.X.[Ya-Xin], Chen, Z.H.[Zhi-Hua], Yuan, Y.[Yubo],
Representation of image content based on RoI-BoW,
JVCIR(26), No. 1, 2015, pp. 37-49.
Elsevier DOI 1502
RoI-BoW BibRef

Karakasis, E.G., Amanatiadis, A., Gasteratos, A., Chatzichristofis, S.A.,
Image moment invariants as local features for content based image retrieval using the Bag-of-Visual-Words model,
PRL(55), No. 1, 2015, pp. 22-27.
Elsevier DOI 1503
Bag of visual words BibRef

Stommel, M., Herzog, O., Xu, W.L.,
A quantitative evaluation of the conceptual consistency of visual words and visual vocabularies,
JVCIR(28), No. 1, 2015, pp. 120-129.
Elsevier DOI 1503
Computer vision BibRef

Ionescu, R.T.[Radu Tudor], Popescu, M.N.[Marius N.],
PQ kernel: A rank correlation kernel for visual word histograms,
PRL(55), No. 1, 2015, pp. 51-57.
Elsevier DOI 1503
BibRef
Earlier:
Objectness to improve the bag of visual words model,
ICIP14(3238-3242)
IEEE DOI 1502
BibRef
Earlier:
Kernels for Visual Words Histograms,
CIAP13(I:81-90).
Springer DOI 1311
Kernel methods Computational modeling BibRef

Jiang, Y.N.[Yu-Ning], Meng, J.J.[Jing-Jing], Yuan, J.S.[Jun-Song], Luo, J.,
Randomized Spatial Context for Object Search,
IP(24), No. 6, June 2015, pp. 1748-1762.
IEEE DOI 1504
BibRef
Earlier: A1, A2, A3, Only:
Randomized visual phrases for object search,
CVPR12(3100-3107).
IEEE DOI 1208
BibRef
Earlier:
Grid-based local feature bundling for efficient object search and localization,
ICIP11(113-116).
IEEE DOI 1201
Locate query object in large collection. Context. BibRef

Lei, B.Y.[Bai-Ying], Tan, E.L.[Ee-Leng], Chen, S.P.[Si-Ping], Ni, D.[Dong], Wang, T.F.[Tian-Fu],
Saliency-driven image classification method based on histogram mining and image score,
PR(48), No. 8, 2015, pp. 2567-2580.
Elsevier DOI 1505
Image classification BibRef

Lei, B.Y.[Bai-Ying], Wang, T.F.[Tian-Fu], Chen, S.P.[Si-Ping], Ni, D.[Dong], Lei, H.[Haijun],
Object recognition based on adapative bag of feature and discriminative learning,
ICIP13(3390-3393)
IEEE DOI 1412
Bag of Phrase; Discriminative learning; Object Recognition; Saliency map BibRef

Yang, X.[Xiyu], Qian, X.M.[Xue-Ming], Mei, T.[Tao],
Learning salient visual word for scalable mobile image retrieval,
PR(48), No. 10, 2015, pp. 3093-3101.
Elsevier DOI 1507
Mobile image retrieval BibRef

Li, Y.S.[Yan-Shan], Huang, Q.H.[Qing-Hua], Xie, W.X.[Wei-Xin], Li, X.L.[Xue-Long],
A novel visual codebook model based on fuzzy geometry for large-scale image classification,
PR(48), No. 10, 2015, pp. 3125-3134.
Elsevier DOI 1507
Codebook BibRef

Li, Y.S.[Yun-Song], Xie, W.Y.[Wei-Ying], Li, H.Q.[Hua-Qing],
Hyperspectral image reconstruction by deep convolutional neural network for classification,
PR(63), No. 1, 2017, pp. 371-383.
Elsevier DOI 1612
Hyperspectral imagery BibRef

Zhang, J.G.[Jian-Guang], Han, Y.H.[Ya-Hong], Jiang, J.M.[Jian-Min],
Tensor rank selection for multimedia analysis,
JVCIR(30), No. 1, 2015, pp. 376-392.
Elsevier DOI 1507
Tensor rank selection. Tensor bag of words model. BibRef

Harandi, M.T.[Mehrtash T.], Hartley, R.I.[Richard I.], Shen, C.H.[Chun-Hua], Lovell, B.C.[Brian C.], Sanderson, C.[Conrad],
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds,
IJCV(114), No. 2-3, September 2015, pp. 113-136.
Springer DOI 1509
BibRef

Harandi, M.T.[Mehrtash T.], Sanderson, C.[Conrad], Shen, C.H.[Chun-Hua], Lovell, B.C.[Brian C.],
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution,
ICCV13(3120-3127)
IEEE DOI 1403
Grassmann manifolds BibRef

Ji, P.[Pan], Zhong, Y.[Yiran], Li, H.D.[Hong-Dong], Salzmann, M.[Mathieu],
Null space clustering with applications to motion segmentation and face clustering,
ICIP14(283-287)
IEEE DOI 1502
Clustering algorithms BibRef

Ji, P.[Pan], Salzmann, M.[Mathieu], Li, H.D.[Hong-Dong],
Efficient dense subspace clustering,
WACV14(461-468)
IEEE DOI 1406
Closed-form solutions. clustering data points drawn from a union of linear (or affine) subspaces. Motion segmentation, face clustering. BibRef

Harandi, M.T.[Mehrtash T.], Salzmann, M.[Mathieu],
Riemannian coding and dictionary learning: Kernels to the rescue,
CVPR15(3926-3935)
IEEE DOI 1510
BibRef

Jayasumana, S.[Sadeep], Hartley, R.I.[Richard I.], Salzmann, M.[Mathieu], Li, H.D.[Hong-Dong], Harandi, M.T.[Mehrtash T.],
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels,
PAMI(37), No. 12, December 2015, pp. 2464-2477.
IEEE DOI 1512
BibRef
Earlier: A1, A2, A3, A4, A5:
Optimizing over Radial Kernels on Compact Manifolds,
CVPR14(3802-3809)
IEEE DOI 1409
BibRef
Earlier: A5, A3, A1, A2, A4:
Expanding the Family of Grassmannian Kernels: An Embedding Perspective,
ECCV14(VII: 408-423).
Springer DOI 1408
BibRef
Earlier: A1, A2, A3, A4, A5:
Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition,
DICTA13(1-6)
IEEE DOI 1412
BibRef
And: A1, A2, A3, A4, A5:
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices,
CVPR13(73-80)
IEEE DOI 1309
Hilbert space embedding. computer vision. Gaussian processes. Linear subspaces are not Euclidean, but lie on a Riemannian manifold (Grassmannian). BibRef

Harandi, M.T.[Mehrtash T.], Sanderson, C.[Conrad], Hartley, R.I.[Richard I.], Lovell, B.C.[Brian C.],
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach,
ECCV12(II: 216-229).
Springer DOI 1210
BibRef

Harandi, M.T.[Mehrtash T.], Salzmann, M.[Mathieu], Hartley, R.I.[Richard I.],
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices,
ECCV14(II: 17-32).
Springer DOI 1408
BibRef

Lobel, H.[Hans], Vidal, R.[Rene], Soto, A.[Alvaro],
Learning Shared, Discriminative, and Compact Representations for Visual Recognition,
PAMI(37), No. 11, November 2015, pp. 2218-2231.
IEEE DOI 1511
BibRef
Earlier:
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition,
ICCV13(1697-1704)
IEEE DOI 1403
image classification BibRef

Lobel, H.[Hans], Vidal, R.[René], Mery, D.[Domingo], Soto, A.[Alvaro],
Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework,
PSIVT13(87-98).
Springer DOI 1412
Bag-of-Visual-Words. BibRef

Wu, Z.F.[Zi-Feng], Huang, Y.Z.[Yong-Zhen], Wang, L.[Liang],
Learning Representative Deep Features for Image Set Analysis,
MultMed(17), No. 11, November 2015, pp. 1960-1968.
IEEE DOI 1511
Convolution BibRef

Wu, Z.F.[Zi-Feng], Huang, Y.Z.[Yong-Zhen], Yu, Y.[Yinan], Wang, L.[Liang], Tan, T.N.[Tie-Niu],
Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation,
ICPR14(1538-1543)
IEEE DOI 1412
Computational modeling BibRef

Wu, Z.F.[Zi-Feng], Huang, Y.Z.[Yong-Zhen], Wang, L.[Liang], Tan, T.N.[Tie-Niu],
Spatial Graph for Image Classification,
ACCV12(I:716-729).
Springer DOI 1304
BibRef
And:
Contextual Pooling in Image Classification,
ACCV12(I:704-715).
Springer DOI 1304
BibRef

dos Santos, J.M.[Joyce Miranda], de Moura, E.S.[Edleno Silva], Soares da Silva, A.[Altigran], Cavalcanti, J.M.B.[João Marcos B.], da Silva Torres, R.[Ricardo], Vidal, M.L.A.[Márcio Luiz A.],
A signature-based bag of visual words method for image indexing and search,
PRL(65), No. 1, 2015, pp. 1-7.
Elsevier DOI 1511
Image retrieval BibRef

Inoue, N.[Nakamasa], Shinoda, K.[Koichi],
Fast Coding of Feature Vectors Using Neighbor-to-Neighbor Search,
PAMI(38), No. 6, June 2016, pp. 1170-1184.
IEEE DOI 1605
BibRef
Earlier:
Neighbor-to-Neighbor Search for Fast Coding of Feature Vectors,
ICCV13(1233-1240)
IEEE DOI 1403
Encoding. Bag of visual word BibRef

Tanaka, K.[Katsuyuki], Takiguchi, T.[Tetsuya], Ariki, Y.[Yasuo],
LLC Revisit: Scene Classification with k-Farthest Neighbours,
IEICE(E99-D), No. 5, May 2016, pp. 1375-1383.
WWW Link. 1605
BibRef

Ghodrati, H.[Hamed], Ben Hamza, A.,
Deep shape-aware descriptor for nonrigid 3D object retrieval,
MultInfoRetr(5), No. 3, September 2016, pp. 151-164.
Springer DOI 1608
low level features from 3D shape. Mid-level features. High level from deep learning. BibRef

Wang, R.G.[Rong-Gui], Ding, K.[Kai], Yang, J.[Juan], Xue, L.[Lixia],
A novel method for image classification based on bag of visual words,
JVCIR(40, Part A), No. 1, 2016, pp. 24-33.
Elsevier DOI 1609
BOW BibRef

Wang, B.[Botao], Xiong, H.K.[Hong-Kai], Lin, W.Y.[Wei-Yao], Zou, J.N.[Jun-Ni], Zheng, Y.F.[Yuan F.],
Multitask Learning of Compact Semantic Codebooks for Context-Aware Scene Modeling,
IP(25), No. 11, November 2016, pp. 5411-5426.
IEEE DOI 1610
Context BibRef

Masoumi, M.[Majid], Li, C.Y.[Chun-Yuan], Ben Hamza, A.,
A spectral graph wavelet approach for nonrigid 3D shape retrieval,
PRL(83, Part 3), No. 1, 2016, pp. 339-348.
Elsevier DOI 1609
Shape retrieval BibRef

Ning, Q., Zhu, J.K.[Jian-Ke], Zhong, Z., Hoi, S.C.H.[Steven C.H.], Chen, C.,
Scalable Image Retrieval by Sparse Product Quantization,
MultMed(19), No. 3, March 2017, pp. 586-597.
IEEE DOI 1702
Distortion BibRef

Silva, F.B.[Fernanda B.], de O. Werneck, R.[Rafael], Goldenstein, S.K.[Siome K.], Tabbone, S.[Salvatore], da Silva Torres, R.[Ricardo],
Graph-based bag-of-words for classification,
PR(74), No. 1, 2018, pp. 266-285.
Elsevier DOI 1711
Bag, models BibRef

Silva, F.B.[Fernanda B.], Goldenstein, S.K.[Siome K.], Tabbone, S.[Salvatore], da Silva Torres, R.[Ricardo],
Image classification based on bag of visual graphs,
ICIP13(4312-4316)
IEEE DOI 1412
bag of visual words;graphs;image classification;spatial relationships BibRef


Li, S.H.[Shuo-Hao], Yamaguchi, K.[Kota],
Attention to describe products with attributes,
MVA17(215-218)
DOI Link 1708
Describe for ad copy. Computational modeling, Convolutional codes, Feature extraction, Generators, Logic gates, Measurement, Organizations BibRef

Manger, D., Herrmann, C., Willersinn, D.,
Towards Extending Bag-of-Words-Models Using Context Features for an 2D Inverted Index,
DICTA16(1-5)
IEEE DOI 1701
Context BibRef

Ouni, A.[Achref], Urruty, T.[Thierry], Visani, M.[Muriel],
Improving the Discriminative Power of Bag of Visual Words Model,
MMMod17(II: 245-256).
Springer DOI 1701
BibRef

Zhang, H.W.[Han-Wang], Shang, X.D.[Xin-Di], Yang, W.Z.[Wen-Zhuo], Xu, H.[Huan], Luan, H.B.[Huan-Bo], Chua, T.S.[Tat-Seng],
Online Collaborative Learning for Open-Vocabulary Visual Classifiers,
CVPR16(2809-2817)
IEEE DOI 1612
BibRef

Deville, R.[Romain], Fromont, E.[Elisa], Jeudy, B.[Baptiste], Solnon, C.[Christine],
Mining Frequent Patterns in 2D+t Grid Graphs for Cellular Automata Analysis,
GbRPR17(177-186).
Springer DOI 1706
BibRef
Earlier:
GriMa: A Grid Mining Algorithm for Bag-of-Grid-Based Classification,
SSSPR16(132-142).
Springer DOI 1611
BibRef

Fei, X.[Xiaohan], Tsotsos, K.[Konstantine], Soatto, S.[Stefano],
A Simple Hierarchical Pooling Data Structure for Loop Closure,
ECCV16(III: 321-337).
Springer DOI 1611
BibRef

Mukundan, A.[Arun], Tolias, G.[Giorgos], Chum, O.[Ondrej],
Robust Data Whitening as an Iteratively Re-weighted Least Squares Problem,
SCIA17(I: 234-247).
Springer DOI 1706
BibRef

Radenovic, F.[Filip], Tolias, G.[Giorgos], Chum, O.[Ondrej],
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples,
ECCV16(I: 3-20).
Springer DOI 1611
BibRef

Etemad, E., Hu, G., Gao, Q.,
A shape feature based BOVW method for image classification using N-gram and spatial pyramid coding scheme,
ICIP16(504-508)
IEEE DOI 1610
Histograms BibRef

Rieutort-Louis, W., Arandjelovic, O.,
Bo(V)W models for object recognition from video,
WSSIP15(89-92)
IEEE DOI 1603
object recognition BibRef

Hentschel, C.[Christian], Wiradarma, T.P.[Timur Pratama], Sack, H.[Harald],
If We Did Not Have ImageNet: Comparison of Fisher Encodings and Convolutional Neural Networks on Limited Training Data,
ISVC15(II: 400-409).
Springer DOI 1601
Compare Bag-of-Visual-Words (BoVW) and Convolutional Neural Networks (CNNs). BibRef

Gialampoukidis, I.[Ilias], Vrochidis, S.[Stefanos], Kompatsiaris, I.[Ioannis],
Fast Visual Vocabulary Construction for Image Retrieval Using Skewed-Split k-d Trees,
MMMod16(I: 466-477).
Springer DOI 1601
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Tang, S.[Sheng], Chen, H.[Hui], Lv, K.[Ke], Zhang, Y.D.[Yong-Dong],
Large visual words for large scale image classification,
ICIP15(1170-1174)
IEEE DOI 1512
Bag of visual words BibRef

Chang, L.[Leonardo], Pérez-Suárez, A.[Airel], Rodríguez-Collada, M.[Máximo], Hernández-Palancar, J.[José], Arias-Estrada, M.[Miguel], Sucar, L.E.[Luis Enrique],
Assessing the Distinctiveness and Representativeness of Visual Vocabularies,
CIARP15(331-338).
Springer DOI 1511
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von Glehn De Filippo, V.[Vinicius], do Patrocínio, Jr., Z.K.G.[Zenilton Kleber G.], Guimarães, S.J.F.[Silvio Jamil F.],
Hierarchical Combination of Semantic Visual Words for Image Classification and Clustering,
CIARP15(306-313).
Springer DOI 1511
BibRef

Scabini, L.F.S.[Leonardo F. S.], Gonçalves, W.N.[Wesley N.], Castro, Jr., A.A.[Amaury A.],
Texture Analysis by Bag-Of-Visual-Words of Complex Networks,
CIARP15(485-492).
Springer DOI 1511
BibRef

Lev, G.[Guy], Sadeh, G.[Gil], Klein, B.[Benjamin], Wolf, L.B.[Lior B.],
RNN Fisher Vectors for Action Recognition and Image Annotation,
ECCV16(VI: 833-850).
Springer DOI 1611
BibRef
And: A3, A1, A2, A4:
Associating neural word embeddings with deep image representations using Fisher Vectors,
CVPR15(4437-4446)
IEEE DOI 1510
Sentence with an image BibRef

Dixit, M.[Mandar], Chen, S.[Si], Gao, D.[Dashan], Rasiwasia, N.[Nikhil], Vasconcelos, N.[Nuno],
Scene classification with semantic Fisher vectors,
CVPR15(2974-2983)
IEEE DOI 1510
BibRef

Kuang, D.[Da], Gittens, A.[Alex], Hamid, R.[Raffay],
Hardware compliant approximate image codes,
CVPR15(924-932)
IEEE DOI 1510
BibRef

Ren, Y.[Yi], Bugeau, A., Benois-Pineau, J.,
Bag-of-bags of words irregular graph pyramids vs spatial pyramid matching for image retrieval,
IPTA14(1-6)
IEEE DOI 1503
content-based retrieval BibRef

Wang, Z.H.[Zhu-Hao], Wu, F.[Fei], Han, Y.H.[Ya-Hong], Luo, J.B.[Jie-Bo], Tian, Q.[Qi], Zhuang, Y.T.[Yue-Ting],
Attribute prediction with long-range interactions via path coding,
ICIP14(5217-5221)
IEEE DOI 1502
Computer science BibRef

Wang, C.[Chong], Ren, W.Q.[Wei-Qiang], Huang, K.Q.[Kai-Qi],
Window mining by clustering mid-level representation for weakly supervised object detection,
ICIP14(4067-4071)
IEEE DOI 1502
Feature extraction BibRef

Chen, X.Z.[Xiao-Zhi], Ma, H.M.[Hui-Min],
Learning a compact latent representation of the Bag-of-Parts model,
ICIP14(5926-5930)
IEEE DOI 1502
Clustering algorithms BibRef

Mennesson, J.[Jose], Tirilly, P.[Pierre], Martinet, J.[Jean],
Elementary block extraction for mobile image search,
ICIP14(3958-3962)
IEEE DOI 1502
Buildings BibRef

Biagio, M.S.[Marco San], Bazzani, L.[Loris], Cristani, M.[Marco], Murino, V.[Vittorio],
Weighted bag of visual words for object recognition,
ICIP14(2734-2738)
IEEE DOI 1502
Encoding BibRef

Hentschel, C.[Christian], Sack, H.[Harald],
What Image Classifiers Really See: Visualizing Bag-of-Visual Words Models,
MMMod15(I: 95-104).
Springer DOI 1501
BibRef

Zheng, L.[Liang], Wang, S.J.[Sheng-Jin], Zhou, W.G.[Wen-Gang], Tian, Q.[Qi],
Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval,
CVPR14(1963-1970)
IEEE DOI 1409
BibRef

Kato, H.[Hiroharu], Harada, T.[Tatsuya],
Image Reconstruction from Bag-of-Visual-Words,
CVPR14(955-962)
IEEE DOI 1409
computer vision; image reconstruction; recognition; retrieval BibRef

Rezaei, M.[Mohammad], Fränti, P.[Pasi],
Matching Similarity for Keyword-Based Clustering,
SSSPR14(193-202).
Springer DOI 1408
BibRef

Chien, C.H.[Chun-Han], Chen, H.T.[Hwann-Tzong],
Random Decomposition Forests,
ACPR13(687-691)
IEEE DOI 1408
image representation Tree structured coding. BibRef

Zhu, C.Z.[Cai-Zhi], Zhou, X.[Xiao], Satoh, S.,
Bag-of-Words Against Nearest-Neighbor Search for Visual Object Retrieval,
ACPR13(626-630)
IEEE DOI 1408
image retrieval BibRef

Ren, Y.[Yi],
A Comparative Study of Irregular Pyramid Matching in Bag-of-Bags of Words Model for Image Retrieval,
SIViP(10), No. 3, March 2016, pp. 471-478.
WWW Link. 1602
BibRef

Ren, Y.[Yi], Benois-Pineau, J.[Jenny], Bugeau, A.[Aurélie],
A Comparative Study of Irregular Pyramid Matching in Bag-of-Bags of Words Model for Image Retrieval,
ICISP14(539-548).
Springer DOI 1406
BibRef

Karaman, S.[Svebor], Benois-Pineau, J.[Jenny], Mégret, R.[Rémi], Bugeau, A.[Aurélie],
Multi-layer Local Graph Words for Object Recognition,
MMMod12(29-39).
Springer DOI 1201
Multi-layered local graphs built upon sets of SURF feature points with Delaunay triangulation. BibRef

Vieux, R.[Rémi], Benois-Pineau, J.[Jenny], Domenger, J.P.[Jean-Philippe],
Content Based Image Retrieval Using Bag-Of-Regions,
MMMod12(507-517).
Springer DOI 1201
BibRef

Zhang, J.J.[Jian-Jia], Wang, L.[Lei], Liu, L.Q.[Ling-Qiao], Zhou, L.P.[Lu-Ping], Li, W.Q.[Wan-Qing],
Accelerating the Divisive Information-Theoretic Clustering of Visual Words,
DICTA13(1-8)
IEEE DOI 1412
image recognition BibRef

Sadovnik, A.[Amir], Gallagher, A.[Andrew], Parikh, D.[Devi], Chen, T.H.[Tsu-Han],
Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing,
ICCV13(2160-2167)
IEEE DOI 1403
attributes; relative attributes; visual attributes BibRef

Zitnick, C.L.[C. Lawrence], Parikh, D.[Devi], Vanderwende, L.[Lucy],
Learning the Visual Interpretation of Sentences,
ICCV13(1681-1688)
IEEE DOI 1403
Learn the visual features from text describing the image. BibRef

Sudholt, S.[Sebastian], Rothacker, L.[Leonard], Fink, G.A.[Gernot A.],
Kernel Density Estimation for Post Recognition Score Analysis,
GCPR14(593-603).
Springer DOI 1411
Verify step of hypothesis/verify. BibRef

Grzeszick, R.[Rene], Rothacker, L.[Leonard], Fink, G.A.[Gernot A.],
Bag-of-features representations using spatial visual vocabularies for object classification,
ICIP13(2867-2871)
IEEE DOI 1412
Bag-of-Features;Image classification;Spatial Pyramids BibRef

Grzeszick, R.[Rene], Fink, G.A.[Gernot A.],
Recognizing Scene Categories of Historical Postcards,
GCPR14(604-615).
Springer DOI 1411
BibRef

Chai, L.S.[Lun-Shao], Qin, Z.[Zhen], Li, Q.[Qun], Zhang, H.G.[Hong-Gang], Guo, J.[Jun],
Ordered histogram of shapemes: An ordered bag-of-features based shape descriptor for efficient shape matching,
ICIP13(2929-2933)
IEEE DOI 1412
ordered bag-of-features;shape matching;shapemes BibRef

Shaban, A.[Amirreza], Rabiee, H.R.[Hamid R.], Farajtabar, M.[Mehrdad], Ghazvininejad, M.[Marjan],
From Local Similarity to Global Coding: An Application to Image Classification,
CVPR13(2794-2801)
IEEE DOI 1309
Bag of Words; Global Coding; Image Classification; Manifold Learning BibRef

Yu, F.X.[Felix X.], Cao, L.L.[Liang-Liang], Feris, R.S.[Rogerio S.], Smith, J.R.[John R.], Chang, S.F.[Shih-Fu],
Designing Category-Level Attributes for Discriminative Visual Recognition,
CVPR13(771-778)
IEEE DOI 1309
attribute based. BibRef

Hodosh, M.[Micah], Hockenmaier, J.[Julia],
Sentence-Based Image Description with Scalable, Explicit Models,
LV13(294-300)
IEEE DOI 1309
BibRef

Elleuch, Z.[Zied], Marzouki, K.[Kirmene],
An Effective Soft Multiple-Assignments Strategies for Enhancing the Accuracy of the Content-Based Image Retrieval Systems,
CGiV16(206-211)
IEEE DOI 1608
BibRef
Earlier:
Optimization of BOW Using Self Organizing Map Artificial Neural Network in Similar Images Retrieval Systems,
IbPRIA13(330-339).
Springer DOI 1307
content-based retrieval BibRef

Fernández-Beltran, R.[Rubén], Montoliu, R.[Raul], Pla, F.[Filiberto],
Vocabulary Reduction in BoW Representing by Topic Modeling,
IbPRIA13(648-655).
Springer DOI 1307
BibRef

Li, P.[Peng], Cheng, J.[Jian], Lu, H.Q.[Han-Qing],
Modeling Hidden Topics with Dual Local Consistency for Image Analysis,
ACCV12(I:648-659).
Springer DOI 1304
BibRef

Gandhi, A.[Ankit], Alahari, K.[Karteek], Jawahar, C.V.,
Decomposing Bag of Words Histograms,
ICCV13(305-312)
IEEE DOI 1403
BibRef

Chandra, S.[Siddhartha], Kumar, S.[Shailesh], Jawahar, C.V.,
Learning Multiple Non-linear Sub-spaces Using K-RBMs,
CVPR13(2778-2785)
IEEE DOI 1309
BibRef
And:
Learning Hierarchical Bag of Words Using Naive Bayes Clustering,
ACCV12(I:382-395).
Springer DOI 1304
Clustering; Feature Learning; Non-Linear Subspace BibRef

Garg, V., Vempati, S., Jawahar, C.V.,
Bag of Visual Words: A Soft Clustering Based Exposition,
NCVPRIPG11(37-40).
IEEE DOI 1205
BibRef

Znaidia, A.[Amel], Shabou, A.[Aymen], Le Borgne, H.[Herve], Hudelot, C.[Celine], Paragios, N.[Nikos],
Bag-of-multimedia-words for image classification,
ICPR12(1509-1512).
WWW Link. 1302
BibRef

Hou, T.B.[Ting-Bo], Hou, X.H.[Xiao-Hua], Zhong, M.[Ming], Qin, H.[Hong],
Bag-of-feature-graphs: A new paradigm for non-rigid shape retrieval,
ICPR12(1513-1516).
WWW Link. 1302
BibRef

Feng, X.J.[Xue-Jiao], Lu, H.C.[Hu-Chuan], Zhang, L.[Lihe],
Superpixel level object recognition under local learning framework,
ICIP12(2169-2172).
IEEE DOI 1302
BibRef

Mattivi, R.[Riccardo], Uijlings, J.[Jasper], de Natale, F.G.B.[Francesco G.B.], Sebe, N.[Nicu],
Categorization of a collection of pictures into structured events,
ICMR12(62).
DOI Link 1301
Bag-of-Words method BibRef

Hare, J.S.[Jonathon S.], Samangooei, S.[Sina], Dupplaw, D.P.[David P.], Lewis, P.H.[Paul H.],
ImageTerrier: an extensible platform for scalable high-performance image retrieval,
ICMR12(40).
DOI Link 1301
ImageTerrier. experimenting with bag-of-visual-words image retrieval. BibRef

Redi, M.[Miriam], Merialdo, B.[Bernard],
Exploring two spaces with one feature: kernelized multidimensional modeling of visual alphabets,
ICMR12(20).
DOI Link 1301
Marginal Alphabets (MEDA). alternative to Bag of Words (BoW) BibRef

Redi, M.[Miriam], Merialdo, B.[Bernard],
Saliency moments for image categorization,
ICMR11(39).
DOI Link 1301
inspired by two biological vision principles: the gist perception and the selective visual attention. BibRef

Jain, M.[Mihir], Benmokhtar, R.[Rachid], Jégou, H.[Hervé], Gros, P.[Patrick],
Hamming embedding similarity-based image classification,
ICMR12(19).
DOI Link 1301
patch matching. Hamming embedding to improve on bag-of-words. BibRef

Uijlings, J.[Jasper], de Rooij, O.[Ork], Odijk, D.[Daan], Smeulders, A.[Arnold], Worring, M.[Marcel],
Instant Bag-of-Words served on a laptop,
ICMR11(69).
DOI Link 1301
Demo. using MediaTable BibRef

Mbanya, E.[Eugene], Gerke, S.[Sebastian], Ndjiki-Nya, P.[Patrick],
Spatial codebooks for image categorization,
ICMR11(50).
DOI Link 1301
bag-of-words with spatial information BibRef

Letessier, P.[Pierre], Buisson, O.[Olivier], Joly, A.[Alexis],
Consistent visual words mining with adaptive sampling,
ICMR11(49).
DOI Link 1301
Bag-of-Words indexing models with a spatial verification re-ranking stage BibRef

Lavoué, G.[Guillaume],
Bag Of Words And Local Spectral Descriptor for 3D Partial Shape Retrieval,
3DOR11(41-48)
DOI Link 1301
BibRef

Jain, A.[Aastha], Zappella, L.[Luca], McClure, P.[Patrick], Vidal, R.[René],
Visual Dictionary Learning for Joint Object Categorization and Segmentation,
ECCV12(V: 718-731).
Springer DOI 1210
BibRef

Kong, S.[Shu], Wang, D.H.[Dong-Hui],
A Dictionary Learning Approach for Classification: Separating the Particularity and the Commonality,
ECCV12(I: 186-199).
Springer DOI 1210
BibRef

Law, M.[Marc], Thome, N.[Nicolas], Cord, M.[Matthieu],
Hybrid Pooling Fusion in the BoW Pipeline,
Concept12(III: 355-364).
Springer DOI 1210
BibRef

Niaz, U.F.[Usman Farrokh], Merialdo, B.[Bernard],
Entropy Based Supervised Merging for Visual Categorization,
ACIVS12(420-430).
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Znaidia, A.[Amel], Shabou, A.[Aymen], Popescu, A.[Adrian], le Borgne, H.[Hervé], Hudelot, C.[Céline],
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Shabou, A.[Aymen], le Borgne, H.[Herve],
Locality-constrained and spatially regularized coding for scene categorization,
CVPR12(3618-3625).
IEEE DOI 1208
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Chen, Q.A.[Qi-Ang], Song, Z.[Zheng], Hua, Y.[Yang], Huang, Z.Y.[Zhong-Yang], Yan, S.C.[Shui-Cheng],
Hierarchical matching with side information for image classification,
CVPR12(3426-3433).
IEEE DOI 1208
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Gao, K.[Ke], Zhang, Y.D.[Yong-Dong], Luo, P.[Ping], Zhang, W.[Wei], Xia, J.H.[Jun-Hai], Lin, S.X.[Shou-Xun],
Visual stem mapping and Geometric Tense coding for Augmented Visual Vocabulary,
CVPR12(3234-3241).
IEEE DOI 1208
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Liu, L.Q.[Ling-Qiao], Wang, L.[Lei],
What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection,
CVPR12(3586-3593).
IEEE DOI 1208
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Yang, K.Y.[Kui-Yuan], Zhang, L.[Lei], Rui, Y.[Yong], Zhang, H.J.[Hong-Jiang],
PartBook for image parsing,
POCV12(17-24).
IEEE DOI 1207
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Glaser, T.[Tamar], Zelnik-Manor, L.[Lihi],
Incorporating temporal context in Bag-of-Words models,
VECTaR11(1562-1569).
IEEE DOI 1201
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Wang, L.B.[Lin-Bo], Tang, F.[Feng], Guo, Y.W.[Yan-Wen], Lim, S.H.[Suk-Hwan], Chang, N.L.[Nelson L.],
Exploiting feature correspondence constraints for image recognition,
ICIP11(1769-1772).
IEEE DOI 1201
Form image of object in multi media. Supervised codebook for features. BibRef

Sun, M.[Meng], van Hamme, H.[Hugo],
Image pattern discovery by using the spatial closeness of visual code words,
ICIP11(205-208).
IEEE DOI 1201
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Liu, J.[Jing], Zhang, C.J.[Chun-Jie], Tian, Q.[Qi], Xu, C.S.[Chang-Sheng], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
One step beyond bags of features: Visual categorization using components,
ICIP11(2417-2420).
IEEE DOI 1201
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Lu, F.X.[Fu-Xiang], Zhang, R.[Rui], Yu, S.Y.[Song-Yu],
Natural scene category recognition based on multiple channels of PHOW,
IASP11(310-315).
IEEE DOI 1112
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Yakhnenko, O.[Oksana], Honavar, V.[Vasant],
Multi-Instance Multi-Label Learning for Image Classification with Large Vocabularies,
BMVC11(xx-yy).
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Cho, A.[Ayoung], Yang, W.K.[Won-Keun], Jeong, D.S.[Dong-Seok], Oh, W.G.[Weon-Geun],
Bag-of-features signature using invariant region descriptor for object retrieval,
FCV11(1-4).
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Li, Y.[Yuan], Cao, X.C.[Xiao-Chun],
Visual Word Pairs for Similar Image Search,
ICIG11(987-992).
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Lian, X.C.[Xiao-Chen], Li, Z.W.[Zhi-Wei], Wang, C.H.[Chang-Hu], Lu, B.L.[Bao-Liang], Zhang, L.[Lei],
Probabilistic models for supervised dictionary learning,
CVPR10(2305-2312).
IEEE DOI 1006
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Shen, X.H.[Xiao-Hui], Lin, Z.[Zhe], Brandt, J.[Jonathan], Wu, Y.[Ying],
Mobile Product Image Search by Automatic Query Object Extraction,
ECCV12(IV: 114-127).
Springer DOI 1210
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Lin, Z.[Zhe], Brandt, J.[Jonathan],
A Local Bag-of-Features Model for Large-Scale Object Retrieval,
ECCV10(VI: 294-308).
Springer DOI 1009
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Zhang, E.[Edmond], Mayo, M.[Mike],
Improving Bag-of-Words model with spatial information,
IVCNZ10(1-8).
IEEE DOI 1203
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Earlier:
Enhanced Spatial Pyramid Matching Using Log-Polar-Based Image Subdivision and Representation,
DICTA10(208-213).
IEEE DOI 1012
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Earlier:
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images,
DICTA09(317-324).
IEEE DOI 0912
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Earlier:
Pattern discovery for object categorization,
IVCNZ08(1-6).
IEEE DOI 0811
Bag of words. capture spatial info in BoW model. Feature within each grid. BibRef

Li, X.L.[Xiao-Lan], Godil, A.[Afzal],
Exploring the Bag-of-Words method for 3D shape retrieval,
ICIP09(437-440).
IEEE DOI 0911
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Li, X.L.[Xiao-Lan], Godil, A.[Afzal], Wagan, A.[Asim],
Spatially Enhanced Bags of Words for 3D Shape Retrieval,
ISVC08(I: 349-358).
Springer DOI 0812
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Wu, Z.[Zhong], Ke, Q.F.[Qi-Fa], Sun, J.[Jian], Shum, H.Y.[Heung-Yeung],
A multi-sample, multi-tree approach to bag-of-words image representation for image retrieval,
ICCV09(1992-1999).
IEEE DOI 0909
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Zhang, J.[Jun], Ye, L.[Lei],
Image retrieval based on bag of images,
ICIP09(1865-1868).
IEEE DOI 0911
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Fehr, J.[Janis], Streicher, A.[Alexander], Burkhardt, H.[Hans],
A Bag of Features Approach for 3D Shape Retrieval,
ISVC09(I: 34-43).
Springer DOI 0911
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Viitaniemi, V.[Ville], Laaksonen, J.T.[Jorma T.],
Spatial extensions to bag of visual words,
CIVR09(Article No 37).
DOI Link 0907
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Viitaniemi, V.[Ville], Laaksonen, J.T.[Jorma T.],
Combining Local Feature Histograms of Different Granularities,
SCIA09(636-645).
Springer DOI 0906
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Earlier:
Experiments on Selection of Codebooks for Local Image Feature Histograms,
Visual08(xx-yy).
Springer DOI 0809
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Tirilly, P.[Pierre], Claveau, V.[Vincent], Gros, P.[Patrick],
Language modeling for bag-of-visual words image categorization,
CIVR08(249-258). 0807
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Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Database Indexing Using Color .


Last update:Nov 18, 2017 at 20:56:18